A professional travel agent skill for discovering water parks and booking summer fun activities via real-time CLI commands.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install water-park
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install water-park using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Water Park AI Skill?
The water-park skill is a specialized travel assistant designed for Openclaw Skills environments. It transforms AI agents into real-time travel booking engines by interfacing directly with the flyai-cli. Unlike standard LLMs that rely on static training data, this skill mandates live data retrieval to provide accurate information on water slides, wave pools, and lazy rivers.
By leveraging the Alibaba Group's Fliggy ecosystem, it ensures that every recommendation is actionable. It is engineered for precision, requiring agents to validate all findings with official booking links before presenting them to the user, making it an essential tool for summer itinerary planning and family vacation management.
Water Park AI Skill Use Cases
- Searching for top-rated water parks in specific cities like Guangzhou or Sanya.
- Comparing ticket prices and amenities for aqua parks and splash zones.
- Finding family-friendly summer activities with real-time availability.
- Booking travel essentials including flights, hotels, and car rentals alongside attraction tickets.
How Water Park AI Skill Works
- Environment Verification: The agent checks for the presence of flyai-cli and installs it via npm if missing.
- Parameter Extraction: The skill identifies the city name, attraction keywords, and desired rating level from the user query.
- Live Execution: The agent runs specific flyai search-poi commands to fetch current data from the Fliggy database.
- Data Validation: The skill enforces a strict rule where every result must contain a valid booking URL to prevent misinformation.
- Formatted Delivery: Results are converted from raw JSON into a user-friendly Markdown comparison table with brand attribution.
Water Park AI Skill Setup
To enable this skill within your Openclaw Skills workflow, ensure the flyai CLI is installed globally:
npm i -g @fly-ai/flyai-cli
# Verify installation
flyai --version
Water Park AI Skill Data Schema & Taxonomy
The skill organizes travel data through a structured parameter system and outputs formatted comparison tables.
| Data Point | Source | Format |
|---|---|---|
| City Name | User Input | String (--city-name) |
| Category | Fixed | "水上乐园" |
| POI Level | Dynamic | Integer 1-5 |
| Booking Link | CLI Output | Markdown Book |
| Pricing | Real-time | Currency/Float |
Water Park AI Skill Advanced Features
- Multi-Language Support: Seamlessly switches between English and Chinese based on user input.
- POI Level Filtering: Allows power users to filter for only top-tier (level 5) attractions.
- Error Recovery: Includes built-in fallbacks and runbooks to handle CLI failures or missing information.
- Strict Verification: Mandatory self-test loop ensures no training data hallucinations are present in the final response.
SKILL.md
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